| AI | Artificial intelligence |
| AD | Alzheimer’s disease |
| HCM | Hypertrophic cardiomyopathy |
| ECG | Electrocardiogram |
| EEG | Electroencephalograms |
| CT | Computed tomography |
| MRI | Magnetic resonance imaging |
| PET | Positron emission tomography |
| SVM | Support vector machine |
| RNN | Recurrent neural network |
| CNN | Convolutional neural network |
| ADNI | Alzheimer’s disease neuroimaging initiative |
| UKB | United kingdom biobank |
| TCGA | The cancer genome atlas |
| BUSI | Breast ultrasound images |
| GEO | Gene expression omnibus |
| HCM | Hypertrophic cardiomyopathy |
| WHO | World health organization |
| SCD | Sunnybrook cardiac data |
| ACDC | Automated cardiac diagnosis challenge |
| DAIC-WOZ | Distress analysis interview corpus-wizard of OZ |
| MODMA | Multi-modal open dataset for mental-disorder analysis |
| WHO | World health organization |
| DICOM | Digital imaging and communications in medicine |
| PNG | Portable network graphics |
| ICA | Independent component analysis |
| DWT | Discrete wavelet transform |
| RFE | Recursive feature elimination |
| PCA | Principal component analysis |
| LDA | Linear discriminant analysis |
| CRF | Conditional random fields |
| LR | Logistic Regression |
| NB | Naive bayes |
| DT | Decision tree |
| LSTM | Long short-term memory |
| LM | Large Model |
| GPT | Generative re-trained transformer |
| PaLM | Pathways Language Model |
| SAM | Segment Anything Model |
| GLM | General Language Model |
| TP | True Positive |
| FP | False Positive |
| TN | True Negative |
| FN | False Negative |
| ACC | Accuracy |
| Sen | Sensitivity |
| Sp | Specificity |
| P | Precision |
| AUC-ROC | Area Under the ROC Curve |
| TPR | True Positive Rate |
| FPR | False Positive Rate |
| H-FCN | Hierarchical Fully Convolutional Network |
| MIL | Multiple Instance Learning |
| MCI | Mild Cognitive Impairment |
| CN | Cognitively normal |
| GRU | Gated Recurrent Unit |
| MLP | Multilayer Perceptrons |
| ASR | Automatic Speech Recognition |
| MM-SDPN | Multi-modal Stacked Denoising Predictive Network |
| RVFL | Random Vector Functional Link |
| SNP | Single nucleotide polymorphism |
| MAADf | Multi-modal AD diagnostic framework |
| CAD | Computer-Aided Diagnosis |
| NN | Neural Network |
| BF | Benign Fibroadenom |
| BPT | Benign Phyllodes Tumor |
| BTA | Benign Tubular Adenoma |
| MDC | Malignant Ductal Carcinoma |
| MLC | Malignant Lobular Carcinoma |
| MMC | Malignant Mucinous Carcinoma |
| MPC | Malignant Papillary Carcinoma |
| LASSO | Least Absolute Shrinkage and Selection Operation |
| RFE | Recursive Feature Elimination |
| mRNA | Maximum Relevance Minimum Redundancy |
| BUSI | Breast Ultrasound Images |
| EDLCDS-BCD | Integrated Deep Learning Clinical Decision Support System |
| USI | Ultrasound image |
| CKHA | Chaos Krill Herd Algorithm |
| CSO | Cat Swarm Optimization |
| LLM | Large Language Model |
| ELRDD | Ensemble Logistic Regression Model for Depression Detection |
| SR | Speaker Recognition |
| SER | Speech Emotion Recognition |
| AMI | Asymmetry Matrix Image |
| HFD | Higuchi’s fractal dimension |
| SampEn | sample entropy |
| EM | Eye movement |
| VLDSP | Volume Local Directional Structure Pattern |
| DCNN | Deep convolutional neural networks |
| DNN | Deep neural network |
| Bi-LSTM | bidirectional long short-term memory |
| ZCR | Zero crossing rate |
| MFCC | mel frequency cepstral coefficient |
| LPC | linear prediction coefficient |
| LSP | line spectrum pair |
| PLP | perceptual linear prediction coefficient |
| LPF | Low profile filtered signal |
| LPR | Linear Prediction Residual Signal |
| HFVS | Homomorphically filtered speech source signal |
| ZFF | Zero frequency filtered signal |
| PTB | Physiobank |
| CVD | Cardiovascular Diseases |
| HCM | Hypertrophic Cardiomyopathy |
| IoMT | Internet of Things |
| Rec-CONVnet | Recurrent CONVolutional neural network |
| SWCDTO | Social Water Cycle Driving Training Optimization |
| SCAD | Stable coronary artery disease patients |
| CAD-non HF | CAD without HF |
| CAD-HF | CAD complicated with HF |
| MI | Myocardial infarction |
| UCSF | University of California, San Francisco |
| HMM | Hidden Markov Model |
| PTB | public Physiobank |
| AI-ECG | AI-enhanced ECG |
| PPV | Positive Predictive Value |
| NPV | Negative Predictive Value |
| POS | Part Of Speech |
| MoCap | Motion Capture |
| fMRI | functional MRI |
| GLCM | Gray Level Co-occurrence Matrix |
| JME | Juvenile Myoclonic Epilepsy |
| HARDI | High Angular Resolution Diffusion Imaging |
| NODDI | Neurite Orientation Dispersion and Density Imaging |
| PNES | psychogenic non-epileptic seizures |
| IGE | Idiopathic Generalized Epileps |
| DIndRNN | Dense IndRNN with attentio |
| IndRNN | Independently improved RNN |
| TLE | Temporal Lobe Epileps |
| PDC | Personal demographic and cognitive data |
| PE | Partial epilepsy |
| GE | Generalized epilepsy |
| UE | Unclassified epilepsy |
| TCGA | The Cancer Genome Atlas |
| ADNI | Alzheimer’s Disease Neuroimaging initiative |
| OASIS-3 | Open Access Series of Imaging Studies-3 |
| AIBL | Australian Imaging, Biomarker and Lifestyle |
| SCD | Sunnybrook Cardiac Data |
| SAFHS | San Antonio Family Heart Study |
| BUSI | Breast Ultrasound Images |
| GEO | Gene Expression Omnibus |
| TLGS | Tehran Lipid and Glucose Study |
| SCD | Sunnybrook Cardiac Data |
| ACDC | Automated Cardiac Diagnosis Challenge |
| DAIC-WOZ | Distress Analysis Interview Corpus-Wizard of OZ |
| MODMA | Multi-modal Open Dataset for Mental-disorder Analysis |